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多传感器一步延迟OOSMs序贯融合滤波
引用本文:柴中,冯肖亮,文成林.多传感器一步延迟OOSMs序贯融合滤波[J].杭州电子科技大学学报,2011(6):143-146.
作者姓名:柴中  冯肖亮  文成林
作者单位:[1]杭州电子科技大学信息与控制研究所,浙江杭州310018 [2]河海大学计算机与信息学院,江苏南京211100
基金项目:国家自然科学基金资助项目(9101602061175030)
摘    要:该文提出了一种序贯式多传感器一步延迟无序量测的融合估计算法.针对现有系统中存在的延迟量测问题,在单传感器一步延迟无序量测最优更新A1算法的基础上,引入序贯递推的思想,在线性最小方差准则下,提出了一种序贯式的多传感器一步延迟无序量测最优融合算法,提高了多OOSMs融合估计的实时性.仿真验证了该文算法的有效性和最优性.

关 键 词:多传感器  一步延迟  无序量测  序贯滤波

A Novel Sequential Fusion Algorithm for the System with Multiple One-step-delay OOSMs
CHAI Zhong,FENG Xiao-liang,WEN Cheng-lin.A Novel Sequential Fusion Algorithm for the System with Multiple One-step-delay OOSMs[J].Journal of Hangzhou Dianzi University,2011(6):143-146.
Authors:CHAI Zhong  FENG Xiao-liang  WEN Cheng-lin
Affiliation:1.Institute of Information and Control,Hangzhou Dianzi University,Hangzhou Zhejiang 310018,China; 2.College of Computer and Information Engineering,Hohai University,Nanjing Jiangsu 211100,China)
Abstract:In this paper,a novel sequential fusion estimation algorithm for the system with multiple one step delay out-of-sequence measurements is proposed.Aiming at the problem of fusion filtering with out-of-sequence measurements,the idea of sequential recursion is taken into consideration on the basis of the optimal algorithm for the system with single out-of-sequence measurement.Then,in the sense of linear minimum mean square error(LMMSE),this paper presents an optimal sequential fusion algorithm for the system with multiple one step delay out-of-sequence measurements through directly updating.The novel method improves the real-time characteristic of the multi-OOSMs fusion estimation.The final simulation illustrates the effectiveness and optimality of the proposed method.
Keywords:multi-sensors  one step delay  out-of-sequence measurements  sequential filter
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